Systems and methods for autoscaling instance groups of computing platforms

A computer-implemented system for scaling an instance group of a computing platform, the system comprising:

• one or more processors;
• and
• a memory storing instructions, the instructions, when executed by the one or more processors, causing the system to perform:
• determining whether to scale up or down the instance group by at least evaluating on-demand job request data for resource units (RUs), observing current job state data, and predicting resource unit need using historical data from prior related job executions,
• generating at least an on-demand scaling value, an observation scaling value, and a predictive scaling value associated with the historical data from prior related job executions,
• determining whether to scale up or down the instance group by comparing each of the on-demand scaling value, the observation scaling value and the predictive scaling value to a threshold;
• and
• scaling instances in the instance group up or down based on at least one of the on-demand scaling value, the observation scaling value, or the predictive scaling value, to a level that provides resource units consistent with the threshold if any of the on-demand scaling value, the observation scaling value and the predictive scaling value exceeds the threshold.

A non-transitory storage medium comprising stored instructions that when executed by one or more processors, cause the one or more processors to:

• determine whether to scale up or down the instance group by at least evaluating on-demand job request data for resource units (RUs), observing current job state data, and predicting resource unit need using historical data from prior related job executions;
• generating at least an on-demand scaling value, an observation scaling value, and a predictive scaling value associated with the historical data from prior related job executions;
• compare each of the on-demand scaling value, the observation scaling value and the predictive scaling value to a threshold;
• and
• scale instances in the instance group up or down based on at least one of the on-demand scaling value, the observation scaling value, or the predictive scaling value, to a level that provides resource units consistent with the threshold if any of the on-demand scaling value, the observation scaling value and the predictive scaling value exceeds the threshold.